Advantages of data visualization with tableau certification

There are several prospects for Tableau professionals. It was formerly a data visualization suite, but you can see the data management add-on in its latest version. As a result, the need for Tableau experts is increasing rapidly. If you are still unconvinced about the benefits, it can offer to your career; this is the post for you.

What is Tableau?

Tableau is the business intelligence industry’s fastest-growing data visualization platform. It assists you in converting textual and numerical data into visual dashboards that allow people to see and comprehend their data. Tableau’s dynamic, simple, quick, and user-friendly design has made it highly popular. The beautiful thing about Tableau is that it does not require any technical or programming knowledge to operate. 

The Advantages of Completing Tableau Course

If coding isn’t your thing, but you want to work in an exciting field, being a Tableau specialist is an excellent choice. Furthermore, even if you have no technical capabilities, you may become a qualified professional. You have to choose the tableau training certification and start creating the groundwork for your profession. So, here are some considerations for deciding whether or not to study Tableau.

Tableau coursestableau courses provide several sorts of visualization possibilities. This improves the overall user experience. Tableau is simpler to learn than Python.

Those with no coding skills or understanding may also rapidly learn Tableau. Users may construct an extraordinarily interactive visual representation using Tableau’s drag and drop features.

Tableau can easily manage millions of rows of data. You may use significant volumes of data to generate various sorts of visualizations without interfering with the functionality of the dashboards. 

Additionally, Tableau has a ‘live’ option for connecting to other data sources such as SQL. Tableau Dashboard provides an excellent reporting tool to tailor the dashboard to devices such as smartphones or laptops. 

Future Roles in Tableau Professionals

Analytics knowledge and Tableau proficiency may propel you to the top of your field. We live in a competitive technological world driven by innovation and transition. Big Data, Artificial Intelligence, Machine Learning, Deep Learning, Cloud Computing, and the Internet of Things are just a few of the technologies permeating practically every sector to grow even more in the future. When seen through an analytics platform like Tableau, these developments may give rise to many jobs.

The need for Tableau professionals is expanding all the time. Thus more people are deciding to add this ability to their toolbox. The most effective method to accomplish this is to get Tableau training and certification from a reputable and competent training source.

Learn tableau course with Imarticus Learning

This tableau course will teach students to apply data science in the real world and build complicated models that yield critical business insights and projections.

Course Benefits for Learners:

  • Students should be familiar with data analytics, machine learning principles, and the most popular data science tools and methodologies.
  • To achieve a tableau certification, students must complete 25 real-world projects and case studies led by corporate partners.
  • Data visualization using tableau software is one of the most in-demand skills in today’s industry. Therefore fresh graduates and early-career professionals should consider enrolling.

Contact us through chat support, or drive to one of our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon. 

A Step-By-Step Guide To Tableau Charts

A Step-By-Step Guide To Tableau Charts

Tableau is a platform for data visualization that enables you to develop interactive dashboards, reports, and data visualizations. The tool’s straightforward drag-and-drop interface makes it simple to link your data and create stunning images. Tableau offers many different types of charts and graphs. You can create them using Tableau’s standard data visualization tools or with more advanced features.

What Is Tableau?

Tableau is a business intelligence (BI) software that allows you to create data visualizations easily and quickly. With Tableau, you can visualize your data in various formats like maps, charts, and graphs. You can go from raw numbers to fully fledged reports within seconds. 

corporate leadership

Learning Tableau charts can help you make visual data more engaging. It’s a great way to share your findings with the world and make them easier to understand.

Tableau allows users to create interactive visualizations from their data without writing code. Users can create dashboards, reports, and other interactive visualizations with Tableau.

Tableau charts show data in an easy-to-understand format. You can use them in conjunction with traditional charts like bar graphs and line graphs to show the relationship between sets of data points.

Here are some steps that will help you create a great chart with Tableau:

First, you need to identify the data table. You can do this by using the “Get External Data” option in Tableau Desktop or the Get External Data button on the View menu of Tableau Server. In either case, select the table you want to analyze and click OK.

Once you have identified the data table, it is time to create your visualization. To do this, double-click on your data source in Tableau Desktop or select New Visualization from the View menu in Tableau Server. You will be prompted for some information about your visualization (like whether or not it should be interactive) and then given a chance to choose between different types of visualizations.

Once you have chosen which type of visualization you want to create, go ahead and fill out any other optional settings, such as whether or not your visuals will get linked and how many times they should get refreshed each second (this is important if there are any delays between updates from live data sources). 

Learn tableau course with Imarticus Learning

In this tableau course, a student will learn to become a data analyst in the real world and create complex models that produce essential business insights and forecasts.

Course Benefits for Learners:

  • Students will learn Data analytics, machine learning fundamentals, and the most widely used data science tools.
  • To receive a tableau certification, students must finish 25 real-world projects and case studies directed by corporate partners.
  • One of the sought-after abilities in the market today is the ability to visualize data utilizing a Tableau program. Therefore, recent graduates and those just starting their careers might consider enrolling.

Contact us through chat support, or drive to one of our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad.

Tableau V/S Excel: Who Will Win?

 Tableau V/S Excel: Who Will Win?

The debate has been on for so long that no one remembers when and where it all began. But the question has always remained the same—is it better to use tools such as Excel or Tableau for analysis?

 Some people say that Tableau can easily beat Excel in anything. Some say the contrary side. Tableau and Excel are two practical tools for creating, developing, storing, and analyzing data. Businesses use both, but they have different features and functions. This post will look at some of the fundamental differences between Excel and Tableau.

The Basic Differences between Excel and Tableau

Excel is a 20-year-old software program that works with numbers. Tableau, in contrast, was explicitly designed for data analysis and visualization. The two programs also have different use cases; Excel works well when you perform calculations and generate reports based on your data, but it may not be as flexible as Tableau if you need to create interactive dashboards and narratives. Tableau allows users to drag-and-drop fields into visualizations, meaning they can customize their output much more quickly than Excel.

Why use Tableau when you can use Excel?

Excel is the most popular and influential application, especially when it comes to data visualization. Excel has been helping people create and analyze data for more than three decades now, making it one of Microsoft’s best products.

 But, despite Excel’s dominance in tech circles, there are many reasons people are starting to use Tableau instead, at least for specific tasks. Users say that their companies save about 30 percent on their monthly business intelligence costs using Tableau instead of Excel. 

Why use Excel instead of Tableau?

Tableau and Excel are currently two of your best options for data visualization software. Both of these programs have their unique benefits and drawbacks. Excel is one of Microsoft’s most popular tools because it’s free and works with all files (including PDFs, XMLs, and HTML files). You can use Excel for various purposes, like creating documents or analyzing numbers. 

However, using Excel on its own is not very efficient when creating beautiful infographics or advanced data visualizations. Instead, you need to use an add-on program like Adobe Illustrator or Microsoft Powerpoint, which requires more time and money for less sophisticated results.

Both have pros and cons in the ongoing war between Microsoft Excel and Tableau. Some say that Tableau has taken the tech world by storm with its easy-to-use functionality, while others believe that Excel still has a few tricks.

Learn data analytics online with Imarticus Learning

This placement assured tableau course will educate students on applying data science in the real world and creating complex models that produce crucial business insights and forecasts.

Course Benefits for Learners:

  • Learners should be familiar with data analytics, machine learning principles, and the most popular data science tools and approaches.
  • Students participate in 25 real-world projects and case studies conducted by corporate partners to obtain a tableau certification.
  • Data visualization with the tableau program is among the most in-demand abilities in today’s market, so recent graduates and early-career employees should consider enrolling.

Contact us through chat support, or drive to one of our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon

Visualizing Spotify data with a tableau course

Visualizing Spotify data with a tableau course

Data science has emerged as a very demanding trend in the industry. Domain skills bring valuable insights from structured and unstructured data using standard tools and techniques.  One of the aspects of data science is data visualization, which is called the graphical representation of the main information obtained from the processed data.

Tableau 

Tableau is one of the standard tools in business intelligence, analytics, and data visualization.  Tableau (desktop and, more recently, public) versions have changed how we interact with visualization and developed data stories for visual communication aids for our large stakeholders, including non-technical audiences globally. With Tableau, you can visualize Spotify streamed data of your favorite artists, tracks, brands, and more. 

You can create dynamic dashboards for visualizing data by using the streaming data and API requested from Spotify and integrating it into the Tableau tool. 

Tableau to Visualize Spotify Music

Once you connect to the Spotify page, you can download music data from the top charts. Top 200 options get a top track or trending track. Use the pull-down menu to filter by country or select Global Options. Similarly, choose from daily or weekly data for your analysis. Use the “Download to CSV” option at the top right of the screen. Daily data is downloaded in the default Spotify_Daily_Streaming file.

Analyze

Now in the Tableau application, load the data source. To open the latest Spotify CSV file on the canvas, select the “Text File” option in the Connect pane. Use the Tableau options to analyze the uploaded data.

The following sections are summarized to analyze the given clause.

Popular Tracks and Artists

Follow the steps to get the most famous songs.

  • Create a new sheet.
  • Add the SUM to rows.
  • Track URL to columns.
  • Sort the songs in the order of greatest to lowest.
  • Enter a name for the track. It is provided next to the Track URL on columns.
  • Using the pill in the columns hide the Track URL title.
  • Mark the Show Header option unchecked.

  Popularity by country

This option is used to analyze how listening habits vary from country to country.

  • Double-click the Country column in the Data panel. Being a geographical area, it plots data on a map. The tableau indicates the geographical column that placed the data on the map.
  • Drop the Streams column into the color for creating a map. For multiple streams, the color turns black.
  • For less than two streams are indicated in a lighter shade.
  • The right-most side of the screen displays unknown values.
  • Double-click on the error notification to remove the data.
  • Use the filter to get the Global column. 

Streaming songs or artists

  • Add the “Week” to rows.
  • Also, add the SUM to columns.
  • You need to filter the Global data.

 You can also analyze currents over time by adding consecutive “week (date)” in columns and SUM (streams) in rows. Of course, in-depth analysis like “seasonality” can be done in the table and allows customized analysis.

Bring to Dashboard

Just drag the sheets from the above analysis with the default map. Select the “Use as filter” option on the map and bar chart. Finish the map’s visual presentation settings with color, grid, and format options.

Data Analytics Certification

It is convenient for new graduates with nearly 5 years of industry experience to upgrade with Visualizing Spotify Data for new graduates and with a tableau course designed for career professionals in data analytics. Imarticus Learning also offers you a PG degree in Data Analytics and Machine Learning.

 You become stronger with the foundation of data analytics and machine learning concepts and with the most in-demand data science tools and processes to play a better role in the data science domain. With the Data Analytics course, you can master skills in data visualization as well as Python, SQL, data analytics, and machine learning for data visualization. To get more information about courses in analytics, contact us through chat support, or drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon.